Model save

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: model-S-5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# model-S-5
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2208
+- Wer: 30.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 700
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer  |
+|:-------------:|:-----:|:----:|:---------------:|:----:|
+| 0.0           | 350.0 | 350  | 0.2247          | 30.0 |
+| 0.0           | 700.0 | 700  | 0.2208          | 30.0 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
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+    "total_flos": 4.286540611584e+18,
+    "train_loss": 0.009252386041147734,
+    "train_runtime": 1196.679,
+    "train_samples_per_second": 9.359,
+    "train_steps_per_second": 0.585
+}

generation_config.json

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+}

model.safetensors

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 size 3055544304

train_results.json

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+{
+    "epoch": 700.0,
+    "total_flos": 4.286540611584e+18,
+    "train_loss": 0.009252386041147734,
+    "train_runtime": 1196.679,
+    "train_samples_per_second": 9.359,
+    "train_steps_per_second": 0.585
+}